Selecting credit rating models: a cross-validation-based comparison of discriminatory power

In commercial banking, various statistical models for corporate credit rating have been theoretically promoted and applied to bank-specific credit portfolios. In this paper, we empirically compare and test the performance of a wide range of parametric and nonparametric credit rating model approaches in a statistically coherent way, based on a ‘real-world’ data set. We repetitively (k times) split a large sample of industrial firms’ default data into disjoint training and validation subsamples. For all model types, we estimate k out-of-sample discriminatory power measures, allowing us to compare the models coherently. We observe that more complex and nonparametric approaches, such as random forest, neural networks, and generalized additive models, perform best in-sample. However, comparing k out-of-sample cross-validation results, these models overfit and lose some of their predictive power. Rather than improving discriminatory power, we perceive their major contribution to be their usefulness as diagnostic tools for the selection of rating factors and the development of simpler, parametric models.

Should more local governments purchase a bond rating?

We investigate whether issuers that choose to forgo a bond rating suffer an interest cost penalty greater than the cost of the rating. We use estimated ratings provided by Moody’s Investor Service to proxy for what the rating would have been if it had been purchased. We find that the primary factors associated with an issuer’s decision to purchase a rating are the rating expected by the issuer and the extent to which an issue is marketed locally. After controlling for self-selection bias, we find that the issuers that forgo a rating do not suffer an interest cost penalty.

Dynamical analysis of corporate bonds based on the yield spread term-quality surface

Our aim of this research is to propose a model which estimates implied relative credit reliability from the yield spread of defaultable bonds and evaluates their spread risk. We introduce “yield spread term-quality surface” (YSTQS) which is defined on the space of duration and credit reliability of the issuers, and express their yield spread. First, we review the general pricing theorem of defaultable bonds with unpredictable recovery in the no-arbitrage context based on the external hazard rates. Second, we show that the dynamics of state variables determine the shape of the YSTQS, and they drive the YSTQS if the loss-adjusted hazard rates are described by a function of them. Finally, we show an empirical analysis of our model with daily yield spread, duration, and the credit ratings of corporate bonds.

Market Segmentation Effects in Corporate Credit Rating Changes: The Case of Emerging Markets

We examine stock market reactions to corporate credit rating changes in 26 emerging market countries included in the Morgan Stanley Capital International (MSCI) Emerging Market Index. We hypothesize and test the notion that emerging market firms in the American Depository Receipts (ADRs) markets are more likely to purchase ratings from the Big Two (Moody’s and S&P), and that they react more strongly to the announcements of corporate rating changes by Moody’s or S&P than to those of raters in local markets. We compare the effect of credit rating changes of the Big Two in two emerging stock markets: local markets (local currencies) and ADR markets (U.S. dollars). We find significant price reactions in the ADR markets, and insignificant reactions in local markets, and conclude that there is capital market segmentation in ADR markets for credit rating changes of emerging market firms. We find evidence that investors react more strongly in the ADR markets than local markets because they require higher costs of capital for firms cross-listed both in the ADR markets and local markets due to greater expected bankruptcy costs and foreign exchange risks of those firms. We also report that stock markets react significantly, not only to rating downgrades, but also to upgrades in the ADR markets.

Lemmings in the bond market? An empirical analysis of the term structure of credit spreads

The paper examines the credit spread between government and corporate bonds at different maturities. Theoretical models assume that credit risk premiums for high quality firms monotonously increase with maturity. We find evidence suggesting that bonds issued at maturities attracting the highest issuance volumes tend to have credit risk premiums that are on average 10 to 15 basis points higher than issues at nonconventional maturities. These results point out a shortcoming of existing theoretical models and show that the credit yield curve is not smooth, but affected by the local supply of issues at various parts of the yield curve. In addition, the empirical evidence presented in this paper indicates that firms utilizing the bond markets for funding could lower their funding costs by shifting the term of their debt away from the most commonly targeted maturities.

How Much Do Banks Use Credit Derivatives to Hedge Loans?

Before the credit crisis that started in mid-2007, it was generally believed by top regulators that credit derivatives make banks sounder. In this paper, we investigate the validity of this view. We examine the use of credit derivatives by US bank holding companies with assets in excess of one billion dollars from 1999 to 2005. Using the Federal Reserve Bank of Chicago Bank Holding Company Database, we find that in 2005 the gross notional amount of credit derivatives held by banks exceeds the amount of loans on their books. Only 23 large banks out of 395 use credit derivatives and most of their derivatives positions are held for dealer activities rather than for hedging of loans. The net notional amount of credit derivatives used for hedging of loans in 2005 represents less than 2% of the total notional amount of credit derivatives held by banks and less than 2% of their loans. We conclude that the use of credit derivatives by banks to hedge loans is limited because of adverse selection and moral hazard problems and because of the inability of banks to use hedge accounting when hedging with credit derivatives. Our evidence raises important questions about the extent to which the use of credit derivatives makes banks sounder.

Bank capitalization and lending behavior after the introduction of the Basle Accord

In this paper, we provide evidence that banks with a low level of capitalization have reduced their commitment with respect to lines of credit after the introduction of the Basle Accord. A bank's lending behavior reflects its level of commitment towards borrowers, which in turn affects the level of effort it exerts on screening and monitoring the activities of borrowers. We find that the post-Basle Accord market reaction to the announcement of lines of credit issued by banks with a low level of capitalization is significantly lower than the reaction to other types of bank credit announcements. We interpret this result as evidence that some banks have a low level of commitment associated with lines of credit after the Basle Accord.

Credit Unions and Small Business Lending

Among the issues raised by consolidation within the banking industry is a concern that small businesses will be less able to obtain credit as community banks are acquired by larger or non-local institutions. Community banks have traditionally been a major source of funding for small businesses. The impact of bank consolidation on credit availability may depend in part on whether the remaining community institutions expand their small business lending activities. This study examines whether credit unions have a propensity to extend business loans in markets that have experienced bank merger and acquisition activity. We find some evidence that credit unions are more likely to engage in business lending in markets characterized by greater bank merger and acquisition activity. Moreover, the estimated economic significance is meaningful in many of the specifications.

Credit Risk and the Term Structure of Lease Rates: A Reduced Form Approach

Previous research either assumes default free leases or leases subject to default risk using a structural approach. However, structural credit risk models suffer from a common criticism that the firm’s asset value process is unobservable. We develop a reduced form credit risk model for leases that avoids making assumptions regarding unobservable asset valuation processes. Furthermore, we assume a correlated market and credit risk that provides us with a simple analytic formula for valuing defaultable lease contracts. Numerical analysis reveals that tenant credit risk can have a substantial impact on the term structure of leases. Finally, we use the model to demonstrate the implied lease term structure for a set of retail and financial firms in the Fall of 2000.

Economic consequences of financial reporting changes: diluted EPS and contingent convertible securities

This paper examines the economic consequences of changes in the financial reporting requirements for contingent convertible securities (COCOs). Using a sample of 199 COCO issuers from 2000 to 2004, we find that issuers are more likely to restructure or redeem existing COCOs to obtain more favorable accounting treatment when the financial reporting impact on diluted earnings per share (EPS) is greater and when EPS is used as a performance metric in CEO bonus contracts. These results provide new evidence that managers are willing to incur costs to retain perceived financial reporting and compensation benefits. We also present evidence of significantly negative stock returns around event dates associated with the financial reporting changes, consistent with investor anticipation of the agency costs associated with the rule change.

GSE Activity,FHA Feedback,and Implications for the Efficacy of the Affordable Housing Goals

There is a seeming paradox regarding the “affordable housing goals”: GSE activities in targeted communities have increased under the goals but there has been little measurable improvement in housing market conditions in these communities. This paper seeks to reconcile this paradox by focusing on linkage between GSE purchases and FHA activities. We present a simple theoretical framework suggesting that GSE activities can have a feedback effect on FHA. More aggressive GSE pursuit of targeted borrowers under the affordable housing goals induces potential FHA borrowers with best credit quality to use the conventional market. Changes to the housing market will depend on the FHA response to the loss of its best credits, with many different possible outcomes for credit supply and homeownership, including scenarios in which they remain effectively unchanged. While market-level benefits might not be forthcoming, the shift from FHA to less costly conventional loans is clearly beneficial for affected borrowers. Two-stage least squares estimates of the relationship between GSE and FHA lending after the affordable housing goals were made more binding are found to be consistent with the theoretical predictions.

Information, Credit Risk, Lender Specialization and Loan Pricing: Evidence from the DIP Financing Market

We provide an empirical support for theories of lender specialization using the recently developed market for Debtor-in-Possession (DIP) financing. The legal environment in which DIP financing operates represents a natural laboratory for testing determinants of lending specialization (e.g. lender choice). We find that the choice of lender is not driven by credit risk, but by information considerations and that this lending specialization has loan pricing effects. In short, banks (non-bank lenders) lend to more (less) transparent firms and at lower (higher) loan spreads. Our results are consistent with the interpretation that banks provide important and useful services.

Credit default swap prices as risk indicators of listed German banks

This paper explores empirically the usefulness of credit default swap (CDS) prices as market indicators. The sample of reference entities consists of large, internationally active German banks and the observation period covers 3 years. By analysing the explanatory power of three risk sources: idiosyncratic credit risk, systematic credit risk and liquidity risk, we gain important insights into modeling the dynamics of CDS spreads. The impact of systematic risk, for example, has three components; one is related to the overall state of the economy, another related to the risk of the internationally active banking sector, and the third is an unobservable systematic factor. Default probabilities, inferred from a tractable reduced form model for CDS spreads, are compared with expected default frequencies from the Moody’s KMV model. The results lend empirical support to the hypothesis that structural models can be less informative than reduced-form models of CDS spreads in the case of banks with major investment banking activities as the leverage loses explanatory power. Although the CDS market appears to have matured over the observation period, during certain periods premiums for liquidity risk can increase substantially thus limiting the value of CDS spreads as market indicators. We conclude that equity prices and CDS premia should be considered together to fully exploit the information content of both market indicators and to mitigate their respective drawbacks.

Joint accounting choices: an examination of firms’ adoption strategies for SFAS No. 106 AND SFAS No. 109

We provide insight into an argument that firms minimize the costs imposed by new accounting standards through their adoption choices. Focusing on two standards with potentially large impacts on both balance sheet and income statement accounts for many firms, we present evidence that firms chose their strategies for SFAS No. 106 (OPEB) and 109 (DTAX) jointly rather than separately. We also provide insight into how firms view recurring versus non-recurring charges, and how they weigh the tradeoff between a large one-time (income decreasing) charge against the smaller, but longer lasting effects of amortization.

Estimating Default Probabilities of CMBS Loans with Clustering and Heavy Censoring

This paper provides a comprehensive default estimation of commercial real estate loans with a complete commercial mortgage backed securities (CMBS) loan history database. Standard survival models assume that eventually every observation will experience the event. However, often there is a high proportion of censored observation in the sample. A mixture model is proposed to disentangle the probability of “long-term survivorship” and the timing of default occurrence. Loans within the same geographical area and property type tend to exhibit correlation in default incidence. A multilevel model is proposed to capture this correlation within and between clusters.

Disclosure and the cost of equity in international cross-listing

In this paper, we examine the relationship between disclosure level and the cost of equity capital for a sample of international firms cross-listing on the New York Stock Exchange. Increased disclosure has the potential to reduce information asymmetry, reduce the cost of financing and increase analyst following. Using an international asset pricing model, we find that listing firms experience a decrease in both disclosure risk and systematic risk while matching firms do not. Further, we find that the magnitude of the decrease is related to three types of disclosure: accounting standards; analyst following; and exchange/regulatory investor protection. Our results suggest that increased disclosure through accounting standards is beneficial to investors and that disclosure can be accomplished through information intermediaries, e.g., analyst following. For firms with the lowest levels of disclosure prior to cross-listing, all three types of disclosure appear to be valuable.

Firm diversification and earnings management: evidence from seasoned equity offerings

Popular press suggests that diversified firms are more aggressive in managing earnings than non-diversified firms. We examine this claim in the seasoned equity offering (SEO) setting, where firms have been shown to have the incentive to manage earnings upwards. Using the cross-sectional modified Jones [(1991) J Accounting Res 29:193–228] model to measure discretionary current accruals, we find that discretionary current accruals are higher among diversified firms than in non-diversified ones. Our evidence is consistent with the view that the extent of firm diversification is directly related to the degree of earnings management. We further show that diversified issuers with high discretionary accruals underperformed other SEO firms.

Securitization of mezzanine capital in Germany

A recent trend in the German asset-backed securities (ABS) market is the securitization of subordinated loans and profit participation agreements (PPAs) granted to medium-sized enterprises (MEs). This paper provides an overview of this growing market and analyzes the benefits of such transactions for portfolio companies as well as for originators and potential investors. Simulations of 10 recent transactions indicate that despite the relatively low interest rates charged on obligors, originators and investors can earn attractive returns at fairly low risk. In particula, the junior tranches of these securitizations exhibit quite attractive risk-return profiles.

Lease Maturity and Initial Rent: Is There a Term Structure for UK Commercial Property Leases?

Seminal work by Grenadier (J. Financ. Econ. 38:297–331, 1995) derived a set of hypotheses about the pricing of different lease lengths in different market conditions. Whilst there is a compelling theoretical case for and a strong intuitive expectation of differential pricing of different lease maturities, to date the empirical evidence is inconclusive. Drawing upon a substantial database of commercial lettings in central London (West End and City of London) over the last decade, we investigate the relationship between rent and lease maturity. In particular, we test whether building quality, credit risk and micro-location variables omitted in previous studies provide empirical results that are more consistent with the theoretical and intuitive a priori expectations. It is found that initial leases rates are upward sloping with the lease term and that this relationship is constant over time.

Estimating Default Probabilities Implicit in Commercial Mortgage Backed Securities (CMBS)

This paper uses a structural credit risk model, providing an analytical formula to estimate default probabilities implicit in commercial mortgage backed security prices. Empirical studies of CMBS default have focused on the probability of default depending on loan characteristics at the origination and market indices. Recent studies show that unobservable current loan-to-value (LTV) ratio is a key state variable driving default. We update this variable using Real Estate Investment Trust (REIT) property-type indices over time. Later, we employ first passage time approach to study CMBS default using implied LTV.